Transcat (TRNS) Operating Expenses (2010 - 2025)
Transcat (TRNS) reported Operating Expenses of $25.17 million for fiscal Q3 2026 (quarter ended Dec 27, 2025), up 43.2% from $17.58 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Transcat (TRNS) Operating Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 27, 2025, Transcat's Operating Expenses came in at $87.88 million, up 30.3% year-over-year; for FY2025 (ended Mar 29, 2025), it came in at $71.58 million, up 11.8% from FY2024.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $64.03 million in FY2024 (+22.9%), $52.11 million in FY2023 (+17.6%), $44.3 million in FY2022 (+26.4%) and $35.05 million in FY2021 (+10.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 19.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2026 (growth of 43.2%); the low point was fiscal Q2 2025 (a decline of 5.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $23.26 million (Q2 2026), $20.48 million (Q1 2026) and $18.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Transcat | 825.06 Mn | 809.71 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 25.17 Mn |
| Sep 27, 2025 | 23.26 Mn |
| Jun 28, 2025 | 20.48 Mn |
| Mar 29, 2025 | 18.97 Mn |
| Dec 28, 2024 | 17.58 Mn |
| Sep 28, 2024 | 17.47 Mn |
| Jun 29, 2024 | 17.56 Mn |
| Mar 30, 2024 | 14.83 Mn |
| Dec 23, 2023 | 16.64 Mn |
| Sep 23, 2023 | 18.48 Mn |
| Jun 24, 2023 | 14.07 Mn |
| Mar 25, 2023 | 13.30 Mn |
| Dec 24, 2022 | 13.24 Mn |
| Sep 24, 2022 | 13.14 Mn |
| Jun 25, 2022 | 12.43 Mn |
| Mar 26, 2022 | 12.16 Mn |
| Dec 25, 2021 | 11.28 Mn |
| Sep 25, 2021 | 11.03 Mn |
| Jun 26, 2021 | 9.83 Mn |
| Mar 27, 2021 | 9.46 Mn |
API Access
Transcat Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=TRNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();